The document elaborates on additional quantitative results, providing clarity on FID-CLIP and FIDCLIP-CLIP curves, indicating their effectiveness in assessing model performance.
The supplemental details reveal significant insights into the implementation of the proposed methods, discussing network architecture, hyperparameters, and the robustness of the model under different random seeds.
Ethical considerations and broader impacts of the research are discussed, emphasizing the need for responsible use and the impact of the implementations on various communities.
The impact of random seed variations showcases that the model possesses robustness, reinforcing its reliability when applied across different scenarios and datasets.
#text-to-image-models #machine-learning #ethical-considerations #quantitative-results #robustness-testing
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